Why we built a Product for each failure mode of MMM?
Every MMM project fails primarily due to the following 5 reasons:
1) Not enough data / bad data
2) Model built but no trust in it
3) Model built but no way to use its insights or plan budgets (no software / dashboard)
4) Model is built but how do we prove its efficacy and causality?
5) Model is built but there is huge information asymmetry (only few teams have access to reports)
We studied these failure modes or choke points over many years.
In a recent pitch meeting (that lasted 2 hrs !!), the client said
“you guys have really thought this through to the most granular details”.
It felt very encouraging to hear that.
So here is what each of our products does and why it is a game changer.
π MMM Readiness Checker
Business Problem β Is our data even MMM ready?
Solution: MMM Readiness Checker
What you get:
β
A readiness score
β
What data is missing
β
What must be fixed before modelling
Why it matters: Avoids expensive MMM projects built on broken data. Clear go/no-go decision for clients.
π MMM Diagnose
Business Problem β Is the model accurate? How can I trust it?
Solution: MMMDiagnose + MMM Bootstrapper
What you get:
β
Aryma Score benchmarked against 12 metrics
β
Stability checks
β
Sign reliability
β
Structural red flags
Why it matters: Builds trust so decisions can be taken with confidence.
π ArymaEdge + MMM Managed Services
Business problem β What drove sales? What is each channelβs contribution? How do we plan budgets and scenarios?
Solution: ArymaEdge + MMM Managed Service
What you get:
β
Channel contribution to KPI (Sales, CPA, Net users etc)
β
Base vs incremental growth
β
True ROAS and saturation curves
β
βWhat-ifβ budget scenarios
β
Optimization & intelligent media allocation suggestions
Why it matters: Accurate attribution with clear next actions.
π DiDective + AdstockITSA + Aryma Delta
Business problem β Did my MMM really work? Did the campaign lift sales? When will creative fatigue set in?
Solution: DiDective + Aryma Delta + AdstockITSA
What you get:
β
Scientific incremental lift identification
β
Causal proof
β
Early signal if campaigns worked
Why it matters: Faster validation, less marketing $ wastage and higher efficiency.
π MMM Synapse + MMMGPT + Aryma Nebula
Business problem:
Insights die in decks. Teams forget. How do we reuse learning across years?
Solution: MMM Synapse + MMMGPT + Aryma Nebula
What you get:
β
Comprehensive evolving knowledge base
β
Chat with your MMM models & reports
β
Org-wide knowledge sharing
β
Institutional memory & always-on insights
Why it matters: Faster, better decisions for everyone.
Aryma Labs is not just an MMM company – We are an operating system for Marketing Measurement.